EDA

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Density Plot for Gender

Gender wise Distribution

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Age wise Density Plot

Age wise boxplot

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Education

Heat Map for Education - Age

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Marital Status wise Distribution

Correlation Plot

LR Prediction Stats

Confusion Matrix for Logistic Regression

                
logistic_default    0    1
               0 4500 1013
               1  145  319

Accuracy

[1] 0.8062573

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AUC Curve for Logistic Regression

RF Prediction Stats

Confusion Matrix for Random Forest

Confusion Matrix and Statistics

           actual
predictions    0    1
          0 4394  836
          1  251  496
                                          
               Accuracy : 0.8181          
                 95% CI : (0.8081, 0.8278)
    No Information Rate : 0.7771          
    P-Value [Acc > NIR] : 3.656e-15       
                                          
                  Kappa : 0.3775          
                                          
 Mcnemar's Test P-Value : < 2.2e-16       
                                          
              Precision : 0.66399         
                 Recall : 0.37237         
                     F1 : 0.47715         
             Prevalence : 0.22285         
         Detection Rate : 0.08298         
   Detection Prevalence : 0.12498         
      Balanced Accuracy : 0.65917         
                                          
       'Positive' Class : 1

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AUC Curve for Random Forest

Summary

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Report

The accuracy for Logistic Regression Model is 0.8062573.
The accuracy for Random Forest Model is 0.8183035.

This report was generated on February 17, 2020.

Predicted Results

About Report

Created by: Vignesh EA

Confidential: Nothing like that!